100 PRs in 14 Days: AI-Scale Link Spam Hits Awesome Lists
A polite, well-formatted PR added an 'AI tool' to an awesome list. A bot found 99 siblings. Inside the new link-spam economy and the cheap checks that catch it.
Dimantika builds software for high-friction workflows — the kind of work people do every day, manually, until something finally makes it go faster. Two products in active development, one engineering principle.
We ship software for teams and creators who spend too many hours on work that shouldn't take hours. Each product is a focused bet on a single, repetitive workflow.
Text to short-form video — script, voiceover, visuals, captions, and music, in one workflow.
Open-source license compliance for engineering teams — scan, detect, and resolve legal risk in your dependencies.
Automate repetitive, high-friction work that people actually do. Not the hypothetical workflows in a pitch deck — the ones where the same human clicks the same sequence, five days a week.
We pick workflows where the unit economics already make sense. If it takes a person an hour today and a user will pay to get that hour back, it's on our list.
A weekly release rhythm keeps disagreements cheap and feedback loops short. We'd rather ship the rough version of the right thing than the polished version of the wrong one.
LLMs aren't the product — they're leverage over effort. We embed them where the ROI is measurable and obvious. Everywhere else, boring software wins.

Dimantika Sp. z o.o. is a small Polish technology company. We build AI-assisted products end-to-end — from the research phase to the line of code that ships on a Tuesday.
Two founders, two products in active development, and a deliberate preference for doing less of anything that doesn't ship.
We keep the team small on purpose. Every person here — including the AI one — has a specific thing they own.

Co-founder · Engineering
Writes the code that ships. Owns the product pipeline for ViralFaceless and the compliance engine behind CompliCode.

Co-founder · Operations
Runs operations, partnerships, and everything that keeps a two-product studio from collapsing under its own scope.
AI teammate · CAO
Handles research, drafts, and the tedious middle of every project. Chief Automation Officer — the role that makes our principle a practice.
We pick boring infrastructure for load-bearing parts and interesting tools where they pay for themselves. Postgres for data. TypeScript for code. LLMs where the ROI is measurable, and never as decoration.
Fast iteration beats grand architecture every week. Ship the rough version, measure what happens, and earn the right to complicate things later.
We publish what we actually figure out — AI automation that works, engineering decisions we'd do again, compliance patterns nobody else writes about.

A polite, well-formatted PR added an 'AI tool' to an awesome list. A bot found 99 siblings. Inside the new link-spam economy and the cheap checks that catch it.

TL;DR: A 95%-accurate agent step sounds safe, but ten steps land you near 60% and twenty near 36%. Multi-step chains multiply their error. Cut the chain, verify between steps, gate the risky actions.

TL;DR: A third or more of AI agent failures aren't crashes. They're agents reporting success for work that didn't happen. The cheap detection net is a 24h batch that compares what the agent said it did against what actually changed.
Have a workflow that eats your team's hours? A product idea we should know about? A partnership that makes sense? Say hello — we reply within one business day.